Obesity male population (% of total population)

Key: dhs_bmi_male | Secondary data | Category: Socioeconomic

Portion of the male population who are obese according to BMI (>=30.0) in relation to total population of the reference area (DHS Indicator: AN_NUTS_M_OBS)

Data Layer information

Source file is available (Show file)

from datalayers.datasources.dhs_layer import DhsLayer
from datalayers.datasources.base_layer import LayerValueType


class DhsBmiMale(DhsLayer):
    def __init__(self) -> None:
        super().__init__()
        self.value_type = LayerValueType.PERCENTAGE

    def get_indicators(self) -> list[str]:
        return ["AN_NUTS_M_OBS"]

    def get_countries(self) -> list[str]:
        return ["GH"]

    def _mapping(self):
        """
        In 2018 Ghana created 6 new regions bei splitting up previous regions.

        Northern ->
            Northern
            North East
            Savannah

        Volta ->
            Volta
            Oti

        Western ->
            Western
            Western North

        Brong-Ahafo ->
            Bono
            Ahafo
            Bono East.


        """
        pass

Data is available locally

Data is loaded into the database

Log | Files

Operation	mean
Database unit	portion / year
Value type	`percentage`
Temporal resolution	`year`

Data availability per spatial unit within the integrated time period
Shape type	First	Last	Availability
Country			22.22 %
Region			12.50 %
Total	2014	2022	0.80 %

Obesity male population (% of total population)

Data Layer information

Analytical overview

Source information

Obesity male population (% of total population)

Data Layer information

src/datalayer/dhs_bmi_male.py

Analytical overview

Source information